Multi-Aperture Vision System Coupled to Neural Network Processors

Abstract

As outlined in the original proposal, FEO intends to determine how effectively a neural network coupled to a multiple aperture vision system (MAVS) can be applied to the tracking task. Over the course of the contract FEO will perform seven (7) experimental simulations to evaluate the proposed tracking systems' performance. The October 15, 1992 report discussed the modeling of the first three (3) configurations. The following report discusses the results of the implementation of these first three experiments on the Silicon Graphics IRIS Indigo workstation. Additionally, FEO has completed the optical modeling of experiments four through seven and completed the C++ coding of experiments four and five. FEO has enclosed a DAT tape containing executable code and source code for experiments 1 through 3. The programs can be loaded onto a Silicon Graphics workstation using the tar tape facility. A description of the operation of each program is provided below. Once begun, operation of the executable programs is self-explanatory.

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Document Details

Document Type
Technical Report
Publication Date
Dec 15, 1992
Accession Number
ADA259353

Entities

People

  • Keith Bromley

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Cartesian Coordinates
  • Computer Programming
  • Computer Programs
  • Contracts
  • Coordinate Systems
  • Detectors
  • Discontinuities
  • Electro-Optics
  • Gradient-Index Lenses
  • Graphics
  • Network Topology
  • Neural Networks
  • Random Number Generators
  • Simulations
  • Target Angle
  • Two Dimensional

Fields of Study

  • Computer science
  • Physics

Readers

  • Computer Science.
  • Parallel and Distributed Computing.
  • Solar Physics

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks